posterior estimates of dynamic constants in hiv transmission modeling

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ID: 249490
2017
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Abstract
In this paper, we construct a linear differential system in both continuous time and discrete time to model HIV transmission on the population level. The main question is the determination of parameters based on the posterior information obtained from statistical analysis of the HIV population. We call these parameters dynamic constants in the sense that these constants determine the behavior of the system in various models. There is a long history of using linear or nonlinear dynamic systems to study the HIV population dynamics or other infectious diseases. Nevertheless, the question of determining the dynamic constants in the system has not received much attention. In this paper, we take some initial steps to bridge such a gap. We study the dynamic constants that appear in the linear differential system model in both continuous and discrete time. Our computations are mostly carried out in Matlab.
Reference Key
chen2017computationalposterior Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yingqing Chen, Renee Dale, Hongyu He, Quoc-Anh T. Le
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Journal advanced functional materials
Year 2017
DOI
10.1155/2017/1093045
URL
http://dx.doi.org/10.1155/2017/1093045
Keywords
medical informatics computer applications to medicine

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